Just tested the latest AI-driven Market Memory feature update on a prediction platform, and the results are impressive. The system adapts dynamically rather than relying on fixed parameters—it continuously learns from historical prediction data across the network. What caught my attention: when market sentiment surges, the protocol responds almost instantly by recalibrating liquidity pools, which tightens the bid-ask spreads significantly. It's a real shift from the traditional static model. The collective intelligence angle is compelling—the platform gets smarter as participation grows.